Kafka Event Streaming
-
Updated
Jan 8, 2024 - Java
Kafka Event Streaming
Event Stream HTTP API with Spring Boot / Streaming API
This is an example project to demonstrate how to use debezium to capture data changes as events from SpringBoot application to kafka, and consume these events at downstream application.
A Slow Event Messaging/Streaming client using Git for educational purposes
Event streaming is a method of data processing that involves the continuous collection, processing, and analysis of data in real-time as it is generated by different sources. In this approach, data is treated as a continuous stream of events, rather than as a batch of data that is processed periodically.
Kipes SDK - The High-Level Event Processing SDK.
Small sample that shows JFR streaming API together with Spring Boot
Microservices Java/Spring-Boot Saga Orchestration - Use Case using Transactional Outbox + Change Data Capture with Debezium
A StreamNative library containing a collection of recipes that are implemented on top of the Pulsar client to provide higher-level functionality closer to the application domain.
Apache Pulsar Presto Connector
Apache Pulsar Connectors
Apache Pulsar Adapters
Pulsar IO Kafka Connector
A Kafka source connector capturing Scylla CDC changes
Open-Source Web UI for managing Apache Kafka clusters
Kafka-on-Pulsar - A protocol handler that brings native Kafka protocol to Apache Pulsar
🦎 A multi-protocol edge & service proxy. Seamlessly interface web apps, IoT clients, & microservices to Apache Kafka® via declaratively defined, stateless APIs.
Apache InLong - a one-stop, full-scenario integration framework for massive data
Add a description, image, and links to the event-streaming topic page so that developers can more easily learn about it.
To associate your repository with the event-streaming topic, visit your repo's landing page and select "manage topics."